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Activity Details


9 * !
Mon, 8/3/2020, 10:00 AM - 11:50 AM Virtual
Bayesian Data Science: The New Frontier — Invited Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Sam Behseta , California State University, Fullerton
Chair(s): Sam Behseta , California State University, Fullerton
10:05 AM Bayesian Nonparametric Modeling for Hawkes Processes
Athanasios Kottas, University of California, Santa Cruz; Hyotae Kim, University of California, Santa Cruz
10:35 AM Bayesian Data Science Approaches in Biomedical Imaging
Michele Guindani, University of California Irvine
11:05 AM Addressing Sampling Bias in Electronic Health Records (EHR): A Point Process Modeling Framework
Veronica J Berrocal, University of California, Irvine; Marco Benedetti, Nationwide Children's Hospital; Bhramar Mukherjee, University of Michigan
11:35 AM Floor Discussion
 
 

14 *
Mon, 8/3/2020, 10:00 AM - 11:50 AM Virtual
Bayesian Analysis Methods for Contemporary Study Designs in Toxicological Risk Assessment — Invited Papers
Section on Risk Analysis, Section on Statistics and the Environment, Section on Bayesian Statistical Science
Organizer(s): Michael Pennell, Ohio State University
Chair(s): Michael Pennell, Ohio State University
10:05 AM Toxicity Modeling and Risk Assessment Using Functional Data from Diverse Populations
Dong Wang, FDA National Center for Toxicological Research
10:30 AM Bayesian Latent Loading Functional Regression for High-Throughput Bioassays
Matthew Wheeler, National Institute for Occupational Safety and Health; Michael Pennell, Ohio State University
10:55 AM An Exploration of the Effects of Multiple Exposures on Birth Outcomes: A Bayesian Regularized Mediation Analysis
Yu-Bo Wang, Clemson University; Zhen Chen, NICHD/NIH; Cuilin Zhang, NICHD/NIH
11:20 AM Structural Equation Models for Environmental Health Outcomes Presentation
Federico Ferrari, Duke University
11:40 AM Floor Discussion
 
 

19 *
Mon, 8/3/2020, 10:00 AM - 11:50 AM Virtual
Bayesian Methods for Sports Data — Invited Papers
Section on Statistics in Sports, Section on Bayesian Statistical Science
Organizer(s): Garritt L Page, BYU
Chair(s): Garritt L Page, BYU
10:05 AM RUSH: An Evolutionary Approach to Ranking College Football Teams
Shane Reese, Brigham Young University
10:30 AM Bayesian Inferences on Uncertain Ranks and Orderings
Andres Barrientos, Florida State University
10:55 AM Bayesian Prediction of Performance in Professional Athletes
Gilbert Fellingham, Dept of Statistics, Brigham Young University; Richard Warr, BYU; Garritt L Page, BYU
11:20 AM Bayesian Multi-Task Gaussian Process Models for NBA Production Curves
Alexander Franks, UC Santa Barbara
11:45 AM Floor Discussion
 
 

28 * !
Mon, 8/3/2020, 10:00 AM - 11:50 AM Virtual
Advances in Bayesian Theory and Methods on Network Data Modeling — Topic Contributed Papers
Section on Bayesian Statistical Science, Section on Statistical Learning and Data Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Yanxun Xu, Johns Hopkins University
Chair(s): Guanyu Hu, University of Connecticut
10:05 AM Optimal Bayesian Estimation for Low-Rank Random Graphs
Fangzheng Xie, Johns Hopkins University; Yanxun Xu, Johns Hopkins University
10:25 AM Joint Bayesian Variable and DAG Selection Consistency for High-Dimensional Regression Models with Network-Structured Covariates Presentation
Xuan Cao, University of Cincinnati; Kyoungjae Lee, Inha University
10:45 AM Probabilistic Community Detection with Unknown Number of Communities Presentation
Junxian Geng, Boehringer Ingelheim; Debdeep Pati, Texas A&M University; Anirban Battacharya, Texas A&M University
11:05 AM Optimization for Bayesian Inference
Leo Duan, University of Florida
11:25 AM Discussant: Yanxun Xu, Johns Hopkins University
11:45 AM Floor Discussion
 
 

31 * !
Mon, 8/3/2020, 10:00 AM - 11:50 AM Virtual
Combination Therapy Dose-Finding in Oncology Drug Development — Topic Contributed Papers
Biopharmaceutical Section, Section on Bayesian Statistical Science, International Chinese Statistical Association
Organizer(s): Rong Liu, BMS
Chair(s): Olga Marchenko, Bayer
10:05 AM Comparative Review of Phase I Dose-Finding Designs for Drug Combination Trials
Heng Zhou, Merck; Ruitao LIN, The University of Texas MD Anderson Cancer Center
10:25 AM Dual-Agent Drug-Combination Designs for Finding Multiple Maximum Tolerated Dose Combinations in Oncology Phase I Trials
Xin Yang, Novartis
10:45 AM Industry Experience on Combination Therapy Dose-Finding in Oncology Drug Development
Rong Liu, BMS
11:05 AM Emerging Approaches in Combination Phase I Trials: Utilization of Historical Data and the Need to Consider Model Guided Designs and Endpoints Other Than DLTs
Suman Sen, Novartis Pharmaceuticals Corp
11:25 AM Discussant: Cindy Gao, FDA
11:45 AM Floor Discussion
 
 

55
Mon, 8/3/2020, 10:00 AM - 2:00 PM Virtual
Advances in Bayesian Sparse Regression — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Antik Chakraborty, Duke University
The Reciprocal Bayesian LASSO
Himel Mallick, Merck Research Laboratories; Rahim Alhamzawi, University of Al-Qadisiyah; Vladimir Svetnik, Merck & Co., Inc.
Bayesian Hybrid Variable Selection Under Generalized Linear Models Presentation
Shiqiang Jin, Kansas State Univ; Gyuhyeong Goh, Kansas State University
Scalable Bayesian Iterative Screening in Ultra-High-Dimensional Settings
Run Wang, Iowa State University; Somak Dutta, Iowa State University; Vivekananda Roy, Iowa State University
Model Based Screening Embedded Bayesian Variable Selection for Ultra-High-Dimensional Settings
Dongjin Li, Iowa State University; Somak Dutta, Iowa State University; Vivekananda Roy, Iowa State University
Global-Local Shrinkage Priors for Non-Gaussian Continuous-Valued Data
Hongyu Wu, Florida State University; Jonathan Bradley, Florida State University
A Generalized Likelihood Based Bayesian Approach for Scalable Joint Regression and Covariance Estimation in High Dimensions
Srijata Samanta, University of Florida; Kshitij Khare, University of Florida; George Michailidis, University of Florida
 
 

56
Mon, 8/3/2020, 10:00 AM - 2:00 PM Virtual
Bayesian Analysis of Functional and Structured Data — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Athanasios Kottas, University of California, Santa Cruz
Bayesian Wavelet-Packet Historical Functional Linear Models
Mark J. Meyer, Georgetown University; Elizabeth J. Malloy, American University; Brent Coull, Harvard University
Bayesian Regression Analysis of Skewed Tensor Response Data
Inkoo Lee, Florida State University; Qing Mai, Florida State University; Debajyoti Sinha, Florida State University; Xin Zhang, Florida State University; Dipankar Bandyopadhyay, Virginia Commonwealth University
Comparison of Posterior Intervals in Bayesian Function-On-Scalar Regression Models Presentation
Chak Kwong (Tommy) Cheng, Georgetown University; Mark J. Meyer, Georgetown University
Identification of Differentially Methylated Regions with Bayesian Functional Data Analysis
Duchwan Ryu, Northern Illinois University; Sanjib Basu, University of Illinois At Chicago; Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai; Suvo Chatterjee, National Institute of Child Health and Development (NICHD)/ National Institutes of Health
Finite Mixtures of ERGMs for Modeling Ensembles of Networks
Fan Yin, University of California, Irvine; Carter Tribley Butts, University of California, Irvine; Weining Shen, University of California, Irvine
Bayesian Graphical Regression for Multiple Data Types
Zhenwei Zhou, Boston University; Ching-Ti Liu, Boston University
 
 

57
Mon, 8/3/2020, 10:00 AM - 2:00 PM Virtual
Frontiers in Bayesian Computing — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Zehang Richard Li, Yale University
Parameter-Expanded Data Augmentation for Analyzing Correlated Binary Data Using Multivariate Probit Models
Xiao Zhang, Michigan Technological University
A Bayesian Analysis of Cardinal Paired Comparison Data Presentation
Prince Peprah Osei, University of Haifa
Warp-U Sampling and Stochastic Bridge Estimation Presentation
Fei Ding, Texas A&M University; David Edward Jones, Texas A&M University; Xiao-Li Meng, Harvard University; Shiyuan He, Renmin University of China
On Scalable Particle Markov Chain Monte Carlo
Christopher Carter, University of New South Wales; David Gunawan, University of Wollongong; Robert Kohn, University of New South Wales
Markov Chain Monte Carlo Methods with Sequential Proposals
Joonha Park, Boston University; Yves Atchade, Boston University
Estimating Parameters of Growth Curve Models by Using Hamiltonian Monte Carlo Algorithm
Md Tareq Ferdous Khan, Cincinnati Children's Hospital Medical Center; Keren Armoni-Domany, Dana-Dwek Children's Hospital; David F Smith, UC Department of Otolaryngology; Raouf S. Amin, Cincinnati Children’s Hospital Medical Center; Md Monir Hossian, Cincinnati Children's Hospital Medical Center
 
 

90
Mon, 8/3/2020, 12:00 PM - 1:00 PM Virtual
Section on Bayesian Statistical Science P.M. Roundtable Discussion — Roundtables PM Roundtable Discussion
Section on Bayesian Statistical Science
ML06: Modern Bayesian Software, a Survey of Current Capability and Usages
Fang Chen, SAS Institute Inc
 
 

126 * !
Mon, 8/3/2020, 1:00 PM - 2:50 PM Virtual
Recent Advances in Bayesian Mixed Membership Modeling for Network, Longitudinal, and Multivariate Data — Topic Contributed Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), IMS, Text Analysis Interest Group
Organizer(s): Elena A Erosheva, University of Washington ; Gongjun Xu, University of Michigan
Chair(s): Tanzy Love, University of Rochester
1:05 PM Exponential Family Mixed Membership Models for Soft Clustering of Multivariate Data
Brendan Murphy, University College Dublin; Arthur White, Trinity College Dublin
1:25 PM A New Class of Mixed Membership Models for Educational Testing: Partial-Mastery Cognitive Diagnosis Models
Elena A Erosheva, University of Washington ; Zhuoran Shang , University of Michingan; Gongjun Xu, University of Michigan
1:45 PM Multilevel Mixed Membership Stochastic Block Models
Tracy Sweet
2:05 PM Longitudinal Structural Mixed Membership Models for Estimating Latent Health Trajectories Using Administrative Claims Data
Zhenke Wu, University of Michigan; Mengbing Li, University of Michigan
2:25 PM Detectability Limits in Dynamic Networks with Link Persistency
Amir Ghasemian
2:45 PM Floor Discussion
 
 

158 * !
Tue, 8/4/2020, 10:00 AM - 11:50 AM Virtual
Statistical Demography — Topic Contributed Papers
Social Statistics Section, Government Statistics Section, Section on Bayesian Statistical Science
Organizer(s): Adrian Raftery, University of Washington
Chair(s): Adrian Raftery, University of Washington
10:05 AM Scenario-Based Bayesian Probabilistic Projections of the Sex Ratio at Birth and Missing Female Births for All Countries and Country-Level Imbalances Presentation
Fengqing Chao, King Abdullah University of Science and Technology; Patrick Gerland, Department of Economic and Social Affairs, United Nations; Alex Cook, National University of Singapore and National University Health System; Leontine Alkema, University of Massachussetts
10:25 AM ACCOUNTING for SMOKING in FORECASTING MORTALITY and LIFE EXPECTANCY
Yicheng Li, University of Washington; Adrian Raftery, University of Washington
10:45 AM Detecting Disease Outbreak Using Travelers Data -- a Case Study of COVID-19 Epidemic
Le Bao, Penn State University; Xiaoyue Maggie Niu, Penn State University; Ying Zhang, Penn State University
11:05 AM Bayesian Demographic Accounts
Junni Zhang, Peking University; John Bryant, Bayesian Demography Limited; Peter W. F. Smith, School of Economic, Social and Political Sciences, University of Southampton
11:25 AM Floor Discussion
 
 

162 * !
Tue, 8/4/2020, 10:00 AM - 11:50 AM Virtual
Recent Development in Data Fusion — Topic Contributed Papers
Section on Bayesian Statistical Science, Uncertainty Quantification in Complex Systems Interest Group
Organizer(s): Dongchu Sun, University of Nebraska-LIncoln
Chair(s): Zhuoqiong He, University of Missouri
10:05 AM Bayesian Data Fusion for Combining Large Electronic Health Records and Small Clinical Validation Data
Ye Liang
10:25 AM Data Fusion Using Summary Versus Individual Data: Relative Efficiency for Random-Effects Models
Dungang Liu, University of Cincinnati; Ding-Geng Chen, The University of North Carolina Chapel Hill; Xiaoyi Min, Georgia State University; Heping Zhang, Yale University
10:45 AM Bayesian Spline Approach to Multi-Output Regression Problems
Cong Lin, East China Normal University; Dongchu Sun, University of Nebraska-LIncoln; Chengyuan Song, East China Normal University
11:05 AM A Bayes Perspective on Model Average Predictors
Tri Le, Mercer Univ - Atlanta; Bertrand Clarke, U. Nebraska-Lincoln
11:25 AM Multivariate Spectral Downscaling for PM2.5 Species
Yawen Guan, University of Nebraska-Lincoln; Brian Reich, North Carolina State University; James Mulholland, Georgia Tech; Howard Chang, Emory University
11:45 AM Floor Discussion
 
 

165
Tue, 8/4/2020, 10:00 AM - 11:50 AM Virtual
Bayesian Methods in Structured Data and High-Dimensional Problem: Some Recent Advances — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science, International Indian Statistical Association
Organizer(s): Nilabja Guha, University of Massachusetts, Lowell
Chair(s): Arnab K Maity, Pfizer
10:05 AM Empirical Priors for Inference on High-Dimensional Structured Parameters
Ryan Martin, North Carolina State University
10:25 AM New Directions in Bayesian Change-Point Detection in High Dimension
Nilabja Guha, University of Massachusetts, Lowell
10:45 AM Bayesian Sparse Signal Recovery: Gaussian Models and Beyond
Jyotishka Datta, University of Arkansas
11:05 AM Covariate Informed Multivariate Density Deconvolution for Structured Dietary Recall Data
Abhra Sarkar, University of Texas at Austin
11:25 AM Variational Bayes for Inverse Problems
Anirban Battacharya, Texas A&M University
11:45 AM Floor Discussion
 
 

187 *
Tue, 8/4/2020, 10:00 AM - 2:00 PM Virtual
Bayesian Analysis of Spatial and Time Series Data — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Colin Witter Rundel, University of Edinburgh
Spatial Models for Social Networks
Tanzy Love, University of Rochester; Joseph Ciminelli, University of Rochester; Tongtong Wu, University of Rochester
Bayesian Nonparametric Density Autoregression with Lag Selection
Matthew Heiner, Brigham Young University; Athanasios Kottas, University of California, Santa Cruz
Restricted Spatial Regression Methods and Implications for Inference
Kori Khan, Ohio State University; Catherine Calder, University of Texas at Austin
Analysis of Personalized Trials Using Bayesian Distributed Lag Model with AR(P) Error
Ziwei Liao, Columbia University; Ken Cheung, Columbia University; Ian Kronish, Columbia University, Department of medicine; Karina Davidson, Feinstein Institute for Medical Research
High-Dimensional Posterior Consistency in Mixed Frequency Sparse Bayesian Vector Autoregressive Models
Nilanjana Chakraborty, University of Florida; Kshitij Khare, University of Florida; George Michailidis, University of Florida
Curvature Processes: Directional Concavity in Random fields
Aritra Halder, University of Connecticut; Dipak K Dey, University of Connecticut
 
 

188 * !
Tue, 8/4/2020, 10:00 AM - 2:00 PM Virtual
Bayesian Application to Biological and Health Sciences — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Federico Ferrari, Duke University
Identification of Gene-Environment Interactions Using a Marginal Robust Bayesian Method
Xi Lu, Kansas State University; Kun Fan; Cen Wu, Kansas State University
Identifying Individual Rare Variants with a Fast Bayesian Variable Selection Method for Trios: Using TRIO_RVEMVS
Duo Yu, University of Texas Health Science Center at Houston; Kusha Mohammadi, Univeristy of Texas- Health Science Center at Houston; Margaret Steiner, The George Washington University; Abigail C Sedory, University of Texas Health Science Center at Houston; Michael Swartz, University of Texas Health Science Center At Houston, School of Public Health; Matthew D. Koslovsky, The Rice University
Bayesian Modeling of Longitudinal Count Data Using Conway-Maxwell Poisson Distribution
MORSHED ALAM, University Of Nebraska Medical Center; Jane Meza, University of Nebraska Medical Center; Yeongjin Gwon, University of Nebraska Medical Center
A Latent Function Approach for Chemical Mixture Interactions in Risk Assessment
Debamita Kundu, National Cancer Institute; Sung Duk Kim, National Cancer Institute; Paul S. Albert, National Cancer Institute
A Bayesian Latent Feature Model for Phenotypic Heterogeneity in Single-Cell Mass Cytometry Data
Thomas Madsen, Carleton College; Franziska Michor, Dana-Farber Cancer Institute
 
 

220155
Tue, 8/4/2020, 12:00 PM - 1:30 PM Virtual
SBSS Executive Committee Meeting — Other Cmte/Business
Section on Bayesian Statistical Science
Chair(s): Marina Vannucci, Rice University
 
 

231
Tue, 8/4/2020, 12:00 PM - 1:00 PM Virtual
Section on Bayesian Statistical Science P.M. Roundtable Discussion — Roundtables PM Roundtable Discussion
Section on Bayesian Statistical Science
TL05: Tips for a More Competitive NSF Proposal
Brani Vidakovic, National Science Foundation
 
 

243 * !
Tue, 8/4/2020, 1:00 PM - 2:50 PM Virtual
Thinking Beyond the P-Value: Advancing Bayesian Education for the Undergraduates — Invited Papers
Section on Bayesian Statistical Science, Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Jingchen (Monika) Hu, Vassar College
Chair(s): Jingchen (Monika) Hu, Vassar College
1:05 PM Quiz: Are You a Bayesian?
Alicia A Johnson, Macalester College
1:25 PM Bayes for Undergraduates: A Prior Is Modified Presentation
Jeffrey A Witmer, Oberlin College
1:45 PM Challenges of Teaching Bayesian Statistics to Undergraduates
Brian Reich, North Carolina State University
2:05 PM Computation Infrastructure for Teaching Bayesian Modeling
Colin Witter Rundel, University of Edinburgh
2:25 PM A Probability Plus Bayes Course
Jim H Albert, Bowling Green State University
2:45 PM Floor Discussion
 
 

256 *
Tue, 8/4/2020, 1:00 PM - 2:50 PM Virtual
Contemporary Mixed Model Methodology and Applications — Invited Papers
Biometrics Section, Section on Statistical Computing, Section on Bayesian Statistical Science
Organizer(s): Maryclare Griffin, University of Massachusetts Amherst
Chair(s): Bright Boasiako, University of Massachusetts Amherst
1:05 PM Information Sharing for Shorter Confidence Intervals, Shorter Prediction Intervals, and Smaller P-Values
Peter Hoff, Duke University
1:25 PM Detecting Genetic Interactions with the Marginal Epistasis Test
Lorin Crawford, Brown University; Xiang Zhou, University of Michigan
1:45 PM Consistent Maximum Likelihood Estimation In Mixed Models Using Subsets
Karl Oskar Ekvall, Karolinska Institute; Galin Jones, University of Minnesota
2:05 PM Better Together: Improved Estimation of Subject-Level Functional Connectivity with Empirical Bayes Shrinkage
Mary Beth Nebel, Johns Hopkins University; Amanda Mejia, Indiana University; Brian Caffo, Johns Hopkins University; Martin Lindquist, Johns Hopkins Bloomberg School of Public Health
2:25 PM Model Testing for Generalized Scalar-On-Function Linear Models
Ana Maria Staicu, North Carolina State University; Luo Xiao, North Carolina State University
2:45 PM Floor Discussion
 
 

262 *
Tue, 8/4/2020, 1:00 PM - 2:50 PM Virtual
The FDA Complex Innovative Trial Design Pilot Program: Learning from Case Examples and Simulations for the Public Good — Topic Contributed Papers
Biopharmaceutical Section, ENAR, Section on Bayesian Statistical Science
Organizer(s): Dionne L Price, Food and Drug Administration
Chair(s): Dionne L Price, Food and Drug Administration
1:05 PM An Overview of Innovative Designs and Statistical Considerations: Lessons Learned
Laura Lee Johnson, FDA
1:25 PM A Bayesian Adaptive Trial in Duchenne Muscular Dystrophy
Stephen Lake, WAVE Life Sciences; Melanie Quintana, Berry Consultants; Scott Berry, Berry Consultants; Jennifer Panagoulias, Wave Life Sciences; Michael A. Panzara, Wave Life Sciences
1:45 PM The Design, Challenges, and Benefits of Evaluating Multiple Assets and Disease Types in a Master Protocol
JonDavid Sparks, Eli Lilly and Company; Saptarshi Chatterjee, Eli Lilly and Co; Karen L Price, Eli Lilly and Company
2:05 PM Floor Discussion
 
 

270 *
Tue, 8/4/2020, 1:00 PM - 2:50 PM Virtual
Bayesian Data Science and Analytics — Topic Contributed Papers
Section on Bayesian Statistical Science, Business and Economic Statistics Section
Organizer(s): Ehsan S Soofi, University of Wisconsin-Milwaukee
Chair(s): Minchul Shin, Federal Reserve Bank of Philadelphia
1:05 PM Modeling Power Outages via Markov Modulated Compound Poisson Processes: A Bayesian Approach
Atilla Ay, George Washington University ; Suleyman Ozekici, Koc University; Refik Soyer, George Washington University
1:25 PM Sequential Bayesian Updating of Time Series of Proportions
Refik Soyer, George Washington University
1:45 PM Bayesian Deep Survival Analysis Models for Heterogeneous Electronic Health Record Data
Sounak Chakraborty, University of Missouri, Columbia
2:05 PM Bayesian Seemingly Unrelated Mean and Quantile Stochastic Frontier Model for Demand
Ehsan S Soofi, University of Wisconsin-Milwaukee; Mahsa Mardikoraem, Unversity of Wisconsin-Milwaukee
2:25 PM Discussant: Amos Golan, American University and Santa Fe Institute
2:45 PM Floor Discussion
 
 

288 *
Wed, 8/5/2020, 10:00 AM - 11:50 AM Virtual
The New Era of Ecological Statistics — Invited Papers
Section on Statistics and the Environment, Caucus for Women in Statistics, Section on Bayesian Statistical Science
Organizer(s): Mevin Hooten, Colorado State University
Chair(s): Jun Zhu, University of Wisconsin
10:05 AM A Spatio-Temporal Model for Multivariate Occupancy Data
Staci Hepler, Wake Forest University; Robert Erhardt, Wake Forest University
10:30 AM The Scope of Statistical Methods in Ecology: A Case Study in Sports
Erin Schliep, University of Missouri
10:55 AM New Methods for Inference in Regression with Network Outcomes, with Applications to Barn Swallow Social and Paternity Data
Bailey Fosdick, Colorado State University
11:20 AM Bridging the Gaps Between Mechanistic and Phenomenological Modeling for Ecological Applications
Leah R Johnson, Virginia Polytechnic and State University
11:45 AM Floor Discussion
 
 

310 !
Wed, 8/5/2020, 10:00 AM - 11:50 AM Virtual
Modern Approaches to Small Area Estimation with Spatial Modeling and Machine Learning — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, Section on Bayesian Statistical Science
Organizer(s): Scott H. Holan, University of Missouri
Chair(s): Scott H. Holan, University of Missouri
10:05 AM Bayesian Nonparametric Multivariate Spatial Mixture Mixed Effects Models with Application to American Community Survey Special Tabulations
Ryan Janicki, U.S. Census Bureau ; Andrew M. Raim, U.S. Census Bureau; Scott H. Holan, University of Missouri; Jerry Maples, U.S. Census Bureau
10:25 AM A Bivariate Dirichlet-Multinomial Small Area Share Model with Application to Joint Estimation of School District Population and Poverty
Jerry Maples, U.S. Census Bureau
10:45 AM Computationally Efficient Deep Bayesian Unit-Level Modeling of Survey Data Under Informative Sampling for Small Area Estimation
Paul A. Parker, University of Missouri; Scott H. Holan, University of Missouri
11:05 AM Interpolating Population Distributions using Public-use Data with Application to the American Community Survey
Matthew Simpson, SAS Institute; Scott H. Holan, University of Missouri; Christopher Wikle, University of Missouri; Jonathan Bradley, Florida State University
11:25 AM Bayesian Analysis of Areal Data with Unknown Adjacencies Using the Stochastic Edge Mixed Effects Model
Jonathan Bradley, Florida State University
11:45 AM Floor Discussion
 
 

312 !
Wed, 8/5/2020, 10:00 AM - 11:50 AM Virtual
Bayesian Variable Selection: When Horseshoe Meets Nonlocal — Topic Contributed Papers
Section on Bayesian Statistical Science
Organizer(s): Liangliang Zhang, M.D. Anderson Cancer Center
Chair(s): Liangliang Zhang, M.D. Anderson Cancer Center
10:05 AM Nonlocal Functional Priors for Nonparametric Hypothesis Testing and High-Dimensional Model Selection
Minsuk Shin, University of South Carolina; Anirban Battacharya, Texas A&M University
10:25 AM Bayesian Semiparametric Regression Model Selection with Correlated Errors
Xueying Tang; Hunter Merrill, University of Flordia; Nikolay Bliznyuk, University of Florida
10:45 AM Bayesian Sparse Multiple Regression for Simultaneous Rank Reduction and Variable Selection
Antik Chakraborty, Duke University
11:05 AM Bayesian Shrinkage Towards Sharp Minimaxity
Qifan Song, Purdue University
11:25 AM Floor Discussion
 
 

335 * !
Wed, 8/5/2020, 10:00 AM - 2:00 PM Virtual
Spatial Smoothing and Bayesian Uncertainty Quantification — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Xu Chen, Duke University
Bayesian Multi-Regional Clinical Trials Using Model Averaging
Nathan W. Bean, University of North Carolina at Chapel Hill; Matthew A. Psioda, University of North Carolina; Joseph G. Ibrahim, University of North Carolina at Chapel Hill
Hierarchical Spatial Modeling of Monotone West Antarctic Snow Density Curves
Philip White, Brigham Young University
Reliable Rates and the Effect of Prior Information with an Application to the County Health Rankings and Roadmaps Program
Guangzi Song, Drexel University; Harrison Quick, Drexel University; Loni Tabb, Drexel University
Computational Methods in Bayesian Disease Mapping: An Application to Chronic Lower Respiratory Disease (CLRD) Mortality in the U.S., 2000-2017 Presentation
Diba Khan, CDC; John Pleis, National Center for Health Statistics; Elizabeth Arias, CDC/NCHS; Maria Dolores Ugarte, Public University of Navarre Pamplona, Spain; Aritz Adin, Public University of Navarre Pamplona, Spain
Learning Human Acquisition Preferences Through Inverse Bayesian Optimization
Nathan Sandholtz, Simon Fraser University; Luke Bornn, Simon Fraser University; Maurice Smith, Harvard University; Yohsuke Miyamoto, Waymo
 
 

360
Wed, 8/5/2020, 10:00 AM - 2:00 PM Virtual
Contributed Poster Presentations: Section on Bayesian Statistical Science — Contributed Poster Presentations
Section on Bayesian Statistical Science
1: Bayesian Model Selection for Latent Group-Based Regression Effects and Heteroscedasticity in Linear Models with the R Package Slgf
Thomas Metzger, The Ohio State University; Christopher Franck, Virginia Tech
2: An Adaptive Design for Variable Selection in Bayesian Modeling
Qingzhao Yu; Bin Li, Louisiana State University
3: A Comparison of Prior Elicitation Aggregation Using the Classical Method and SHELF
Cameron Williams, Newcastle University
4: Power Prior Distribution for Bayesian Record Linkage
Frank DeVone, Brown University
5: Analysis of Ongoing Intervention Adaptations: The Intersection of Platform Trials, Causal Inference, and Bayesian Techniques
Teresa Dianne Bufford, UCLA Department of Biostatistics, Semel Institute for Neuroscience & Human Behavior; Hilary Aralis, UCLA Department of Biostatistics, Semel Institute for Neuroscience & Human Behavior; Catherine Crespi, UCLA Department of Biostatistics, Jonsson Comprehensive Cancer Center
6: The Cauchy-Net Mixture Model for Clustering with Anomalous Data
Matt Slifko, High Point University; Scotland Leman, Virginia Tech; David Bieri, Virginia Tech
7: Bayesian Model of Polygonal Chain for Landmark Point Detection
Cong Zhang, University of Texas at Dallas; Min Chen, University of Texas at Dallas; Kelli Palmer, University of Texas at Dallas; Michael Zhang, University of Texas at Dallas; Qiwei Li, The University of Texas at Dallas
8: Evaluating a Novel Hierarchical Bayesian Method for Noninvasively Estimating the Effects of Exposures on Proximal and Distal Airway Inflammation
Jingying Weng, University of Southern California, Department of Preventive Medicine,Biostatistic Division; Noa Molshatski, University of Southern California; Paul Marjoram, University of Southern California; William James Gauderman, University of Southern California; Frank D Gilliland, University of Southern California; Sandrah Proctor Eckel, University of Southern California
9: A Bayesian Estimation of Occurrence of Chronic Kidney Disease Using Urinalysis Test Data in Lagos, Nigeria
Obafemi Adegoke Keshinro, University of Lagos, Nigeria
10: Mapping Land Reflectance with Bayesian Dynamic Models
Ryan Frost
11: Bayesian Estimates of Low Birth Weight Risk by U.S. County
Pallavi Dwivedi, University of Maryland College Park; Quynh Nguyen, University of Maryland College Park
12: Accelerated Life Testing: A Bayesian Eyring-Log-Normal Model
Neill Smit, North-West University; Lizanne Raubenheimer, North-West University
13: A Bayesian Approach to Adjust for Misclassification of Bivariate Areal Count Data with Spatial Autocorrelation
Jinjie Chen, Baylor University; James Stamey, Department of Statistical Science, Baylor University; Joon Jin Song, Baylor University
14: Comparative Effectiveness Research Using Bayesian Adaptive Designs for Rare Diseases: Response Adaptive Randomization Reusing Participants
Fengming Tang, KUMC; Byron J Gajewski, KUMC
15: On Robust Pseudo-Bayes Estimation for the Independent Non-Homogeneous Set-Up
Tuhin Majumder, North Carolina State University
16: Assessing Tests Post Hoc: A Decision-Theoretic Approach
Chloe Krakauer, University of Washington; Kenneth Rice, University of Washington
18: Bayesian Hierarchical Regression for Non-Overlapping Spatial Surfaces
Youngsoo Baek, Duke University Statistical Science; Samuel Berchuck, Duke University Statistical Science; Sayan Mukherjee, Duke University; Felipe Medeiros, Duke Ophthalmology
19: A Modern Approach to Bayesian Multilevel Modeling of the Psychometric Function
Alexander Knudson, University of Nevada; Alfred Schissler, University of Nevada; Alexandra Scurry, University of Nevada; Fang Jiang, University of Nevada
20: A Nested Clustering Method to Detect and Cluster Transgenerational DNA Methylation Sites via Beta Regressions
Jiajing Wang, University of Memphis; Hongmei Zhang, University of Memphis; Shengtong Han, University of Wisconsin, Milwaukee
21: Nearest Neighbor Dirichlet Process
Shounak Chattopadhyay, Duke University; Antik Chakraborty, Duke University; David Dunson, Duke University
22: Geometric Ergodicity for Hybrid Samplers in Functional Estimation via Gaussian Markov Random Fields
Yiyang Lin, The Ohio State University, Department of Statistics; Radu Herbei, The Ohio State University
23: Bayesian Propensity Score Analysis for Multiple Correlated Binary Outcomes
Shannon Marie Ciccarello, Baylor University; Joon Jin Song, Baylor University
24: Bayesian Adjustment for Misclassification Bias
Divya Lakshminarayanan, GlaxoSmithKline; James Stamey, Department of Statistical Science, Baylor University
25: Bayesian Neuroimaging Feature Selection for Characterizing Alzheimer's Disease
Daniel Baer, Medical University of South Carolina; Andrew Lawson, Medical University of South Carolina
26: On the Bayesian Non-crossing Joint Quantile Regression based on Asymmetric Laplace Likelihood with Sandwich Covariance Matrix
Changwoo Lee, Texas A& M University
27: On the Bayesian Multiple Index Additive Models
Zhengkang Liang, Temple University; Zhigen Zhao, Temple University
28: District Level Incidence of Breast Cancer in Portugal: A Spatial Age-Period-Cohort Analysis, 1998 - 2011
Joseph Froelicher, University of Wyoming; Pavel Chernyavskiy, University of Wyoming
29: Comparison Between Variational and MCMC Bayesian Neural Network
Zihuan Liu, Michigan State University; Shrijita Bhattacharya, Michigan state university ; Tapabrata (Taps) Maiti, Michigan State University
31: Causal Inference in Observational Studies with a Post-Treatment Variable Using Bayesian Inference
Li He; Yu-Bo Wang, Clemson University; William Bridges, Clemson University
32: A Comparison of Bayesian, Frequentist and Fiducial Intervals for the Difference Between Two Binomial Proportions
Lizanne Raubenheimer, North-West University
 
 

373
Wed, 8/5/2020, 12:00 PM - 1:00 PM Virtual
Section on Bayesian Statistical Science A.M. Roundtable Discussion — Roundtables PM Roundtable Discussion
Section on Bayesian Statistical Science
WL05: Women in Statistics: How to Survive (And Thrive!) in Academia
Alicia Carriquiry, Iowa State University
 
 

385 !
Wed, 8/5/2020, 1:00 PM - 2:50 PM Virtual
Recent Advances in Bayesian Methods for the Analysis of Microbiome Count Data — Invited Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), Biometrics Section
Organizer(s): Qiwei Li, The University of Texas at Dallas
Chair(s): Qiwei Li, The University of Texas at Dallas
1:05 PM Multinomial Matrix Factorization for Microbiome Data
Yang Ni, Texas A&M University
1:25 PM A Bayesian Nonparametric Analysis for Zero-Inflated Multivariate Count Data with Application to Microbiome Study
Kurtis Shuler, UCSC; Juhee Lee, UCSC; Irene Chen, University of California Santa Barbara; Samul Verbanic, University of California Santa Barbara
1:45 PM HARMONIES: A Hybrid Approach for Microbiome Networks Inference via Exploiting Sparsity
Shuang Jiang, Southern Methodist University
2:05 PM Efficient Bayesian Estimation of Microbiome Association Networks
Christine B. Peterson, The University of Texas MD Anderson Cancer Center; Nathan Osborne, Rice University; Marina Vannucci, Rice University
2:25 PM Discussant: Xiaowei Zhan, The University of Texas Southwestern Medical Center
2:45 PM Floor Discussion
 
 

396 * !
Wed, 8/5/2020, 1:00 PM - 2:50 PM Virtual
Drug Approval and Labeling Based on Bayesian Approach — Invited Panel
Biopharmaceutical Section, Section on Bayesian Statistical Science, ENAR
Organizer(s): Lei Nie , FDA
Chair(s): Frank Harrell, Vanderbilt University School of Medicine
1:05 PM Drug Approval and Labeling Based on the Bayesian Approach
Panelists: Deborah Ashby, the School of Public Health, Imperial College Londo
Frank Bretz, Novartis Pharma AG
Maria Ciarleglio, Yale School of Public Health
Brian Hobbs, University of Texas at Austin
Ying Yuan, The University of Texas MD Anderson Cancer Center
Jeni Zhou, Amgen
2:40 PM Floor Discussion
 
 

400 * !
Wed, 8/5/2020, 1:00 PM - 2:50 PM Virtual
Multiple Aspects of Bayesian Model Selection and Variable Selection in Linear and Nonlinear Models — Topic Contributed Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), International Indian Statistical Association, Text Analysis Interest Group
Organizer(s): Arnab K Maity, Pfizer
Chair(s): Arnab K Maity, Pfizer
1:05 PM High-Dimensional Bayesian Model Averaging for Gene Network Inference
Adrian Raftery, University of Washington
1:25 PM Generative modeling of compositional count data based on the Dirichlet-tree model with application to microbiome studies
Li Ma, Duke University; Jialiang Mao, Duke University
1:45 PM Bayesian Hierarchical Modeling for Process Optimization
Min Wang, The University of Texas at San Antonio; Linhan Ouyang, Nanjing University of Aeronautics and Astronautics; Chanseok Park, Pusan National University; Yan Ma, Nanjing University of Science and Technology; YiZhong Ma, Nanjing University of Science and Technology
2:05 PM Probabilistic Machine Learning for Uncertainty Quantification of Neutron Star Radius
Debdeep Pati, Texas A&M University; Anirban Battacharya, Texas A&M University; Yeunhwan Lim, Max Planck Institut für Kernphysik, Technische Universität Darmstadt; Jeremy Holt, Texas A&M University
2:25 PM Floor Discussion
 
 

411 *
Wed, 8/5/2020, 1:00 PM - 2:50 PM Virtual
Innovative Modeling of Risks in the SAMSI GDRR Program — Topic Contributed Papers
Section on Risk Analysis, International Indian Statistical Association, Section on Bayesian Statistical Science
Organizer(s): Sanjib Basu, University of Illinois At Chicago
Chair(s): Jian Zou, Worcester Polytechnic Institute
1:05 PM Explaining Aggressive Provider Billing Behavior via Quantile Variable Selection Models Presentation
Tahir Ekin, Texas State University; Paul Damien, University of Texas Austin
1:25 PM Risk-Based Management for Cervical Cancer Screening
Didem Egemen, National Cancer Institute - NIH; Li Cheung, US National Cancer Institute; Mark Schiffman, National Cancer Institute - NIH
1:45 PM Modeling Risks from Environmental Mixtures
Sanjib Basu, University of Illinois At Chicago; Jiyeong Jang, University of Illinois at Chicago
2:05 PM Effects of Risk Attitudes and Information Friction on Willingness to Pay for Precautionary Building Standards
Sebastain Awondo, University of Alabama; Kevin Egan, University of Toledo; Lawrence Powell, University of Alabama
2:25 PM Development of an Augmented Finite Weakest-Link Load-Sharing Model and Its Application to Explain the Physical Failure Process of a High-K Gate Dielectrics of a Semiconductor
David Han, The University of Texas at San Antonio
2:45 PM Floor Discussion
 
 

420 * !
Thu, 8/6/2020, 10:00 AM - 11:50 AM Virtual
Highlights from "Bayesian Analysis": Bayesian Methods for the Public Good — Invited Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Michele Guindani, University of California Irvine
Chair(s): Michele Guindani, University of California Irvine
10:05 AM Additive Multivariate Gaussian Processes for Joint Species Distribution Modeling with Heterogeneous Data Presentation
Jarno Vanhatalo, University of Helsinki; Marcelo Hartmann, University of Helsinki; Lari Veneranta, Natural Resources Institute Finland
10:30 AM Efficient Bayesian Model Choice for Partially Observed Processes: With Application to an Experimental Transmission Study of an Infectious Disease
S. E. F. Spencer, University of Warwick; Trevelyan J McKinley, University of Exeter; Peter Neal, Lancaster University; Andrew Conlan, University of Cambridge; Laurence Tiley, University of Cambridge
10:55 AM Bayesian Approaches to Infer Symptom Associations in Verbal Autopsies
Zehang Richard Li, Yale University
11:20 AM Bayesian Sparse Multivariate Regression with Asymmetric Nonlocal Priors for Microbiome Data Analysis
Kurtis Shuler, UCSC; Juhee Lee, UCSC; Marilou Sison-Mangus, UCSC
11:45 AM Floor Discussion
 
 

432 * !
Thu, 8/6/2020, 10:00 AM - 11:50 AM Virtual
Withdrawn - Case Studies in Bayesian Methods for Health Policy Research — Invited Papers
Health Policy Statistics Section, Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Mariel M Finucane, Mathematica
11:45 AM Floor Discussion
 
 

439 * !
Thu, 8/6/2020, 10:00 AM - 11:50 AM Virtual
Role of External Evidence in Drug Development: Current Practices and Future Perspectives — Topic Contributed Papers
Biopharmaceutical Section, Section on Bayesian Statistical Science, Health Policy Statistics Section
Organizer(s): Satrajit Roychoudhury, Pfizer Inc.
Chair(s): Satrajit Roychoudhury, Pfizer Inc.
10:05 AM Bayesian Approaches for Using Real-World Evidence for Regulatory Decision Making
Gary L Rosner, Johns Hopkins University; Chenguang Wang, Johns Hopkins University
10:25 AM Statistical Innovation in Rare Disease Clinical Development
Kannan Natarajan, Pfizer Pharmaceuticals Inc.
10:45 AM Dynamic Borrowing of Historical Data Using the Power Prior: Overview and New Developments
Joost van Rosmalen, Erasmus MC
11:05 AM Use of External Evidence for Decision Making in Early Phase Trials
Maxine Bennett, AstraZeneca
11:25 AM Floor Discussion
 
 

454 *
Thu, 8/6/2020, 10:00 AM - 11:50 AM Virtual
Computational Advances in Approximate Bayesian Methods — Topic Contributed Papers
Section on Bayesian Statistical Science
Organizer(s): Robert Kohn, University of New South Wales
Chair(s): Robert Kohn, University of New South Wales
10:05 AM Sparse Variational Inference: Bayesian Coresets from Scratch
Trevor Campbell, University of British Columbia
10:25 AM Fast Variational Approximation for Multivariate Factor Stochastic Volatility Model
David Gunawan, University of Wollongong; Robert Kohn, University of New South Wales; David Nott, National University of Singapore
10:45 AM High-Dimensional Copula Variational Approximation Through Transformation
Michael Smith, University of Melbourne; Ruben Loaiza-Maya, Monash University ; David Nott, National University of Singapore
11:05 AM Mini-Batch Metropolis-Hastings MCMC with Reversible SGLD Proposal
Rachel Wang, University of Sydney; Tung-Yu Wu, Stanford University; Wing Hung Wong, Stanford University
11:25 AM Weighted Approximate Bayesian Computation via Large Deviations Theory
Cecilia Viscardi, University of Florence; Michele Boreale, University of Florence; Fabio Corradi, University of Florence; Antonietta Mira, Università della Svizzera Italiana (USI)
11:45 AM Floor Discussion
 
 

478 *
Thu, 8/6/2020, 10:00 AM - 2:00 PM Virtual
Advanced Data Analysis with Bayesian Latent Variable Modeling — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Li Ma, Duke University
Analysis of Vole Data via a Bayesian Mixture Model
Ori Rosen, Univ of Texas at El Paso; Noelle Samia, Northwestern University; Osnat Stramer, University of Iowa; Michael Bertolacci, University of Wollongong
Bayesian Models for Longitudinal Clustered Data with Applications to Dental Fluorosis Study
Tong Kang, Department of Biostatistics, University of Florida; Jeremy Thomas Gaskins, University of Louisville; Steven Levy, Department of Preventive and Community Dentistry, University of Iowa; Somnath Datta, University of Florida
Bayesian Nonparametric Cost-Effectiveness Analysis: Causal Estimation and Adaptive Subgroup Discovery
Arman Oganisian, Univ of Pennsylvania; Nandita Mitra, University of Pennsylvania; Jason Roy, Rutgers University
 
 

479 *
Thu, 8/6/2020, 10:00 AM - 2:00 PM Virtual
Applied Bayesian Nonparametric Modeling — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Kelly R. Moran, Duke University
Bayesian Semiparametric Joint Modeling of Longitudinal Predictors and a Binary Outcome
Woobeen Lim, Ohio State University; Michael Pennell, Ohio State University
A Nonparametric Bayesian Approach to Simultaneous Subject and Cell Heterogeneity Discovery for Single-Cell RNA-Seq Data
Xiangyu Luo, Renmin University of China; Qiuyu Wu, Renmin University of China
A Covariate Dependent Equating Method
Inés M. Varas, Pontificia Universidad Católica de Chile; Jorge González, Pontificia Universidad Católica de Chile ; Fernando A. Quintana, Pontificia Universidad Católica de Chile
A Random Partition Distribution Concentrated Around a Focal Partition
Richard Warr, BYU; David Dahl, Brigham Young University; Thomas Jensen, Brigham Young University
Interpreting Treatment Effect Heterogeneity Through Posterior Summarization
Spencer Woody, University of Texas At Austin; Carlos Carvalho, The University of Texas at Austin; Jared S Murray, The University of Texas at Austin
Nonparametric Bayesian Population Size Estimation with Missing Entries
Dongah Kim, University of Massachusetts, Amherst; Krista Gile, University of Massachusetts, Amherst
 
 

480
Thu, 8/6/2020, 10:00 AM - 2:00 PM Virtual
Foundational Aspects of Bayesian Analysis — Contributed Papers
Section on Bayesian Statistical Science
Chair(s): Peter Hoff, Duke University
The Scale Transformed Power Prior with Applications to Time-to-Event Data
Brady Nifong, University of North Carolina; Joseph G. Ibrahim, University of North Carolina at Chapel Hill; Matthew A. Psioda, University of North Carolina
Bayesian Sequential Probability Ratio Test on Vaccine Efficacy Trial
Erina Paul, Merck & Co., Inc.; Santosh Sutradhar, Merck & Co., Inc.; Devan Mehrotra, Merck
A Practical Assessment of Sensitivities in Bayes Factors Using Interactive Visualization and Computer Surrogate Modeling
Christopher Franck, Virginia Tech; Robert Gramacy, Virginia Tech
Bayes Estimates for Multiple Related Regressions Under Exchangeability Among Covariates
Brian Trippe, Massachusetts Institute of Technology; Hilary K Finucane, Broad Institute; Tamara Broderick, Massachusetts Institute of Technology
 
 

528 * !
Thu, 8/6/2020, 1:00 PM - 2:50 PM Virtual
New Developments in Statistical Methods for Forensic Science and Forensic Metrology — Invited Papers
Committee on Law and Justice Statistics, Section on Bayesian Statistical Science, Advisory Committee on Forensic Science
Organizer(s): Hari iyer, National Institute of Standards and Technology
Chair(s): Adam Pintar, National Institute of Standards and Technology
1:05 PM Arithmetic with Score-Based Likelihood Ratios
Steve Lund, NIST
1:35 PM A Method of Forensic Evidence Interpretation Using Error Rates
Danica Ommen, Iowa State Univeristy; Larry Tang, University of Central Florida; Christopher Saunders, South Dakota State University
2:05 PM Are Reported Likelihood Ratios Well Calibrated?
Jan Hannig, University of North Carolina at Chapel Hill; Hari iyer, National Institute of Standards and Technology
2:45 PM Floor Discussion
 
 

534 * !
Thu, 8/6/2020, 1:00 PM - 2:50 PM Virtual
Bayesian Inference with Complex Biomedical Systems — Invited Papers
International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science, Biometrics Section
Organizer(s): Jie He, School of Public Health, University of Michigan; Gary L Rosner, Johns Hopkins University
Chair(s): Jie He, School of Public Health, University of Michigan
1:05 PM Quantifying HIV Transmission Flow from Cross-Sectional Viral Phylogenetic Deep Sequence Data: A Population-Based Study in Rakai, Uganda Presentation
O. Ratmann, Imperial College London; X. Xi, Imperial College London; S. E. F. Spencer, University of Warwick; Joseph Kagaayi, Rakai Health Sciences Program; M. Kate Grabowski, Johns Hopkins School of Medicine; on behalf of, Rakai Health Sciences Program and PANGEA-HIV; Matthew Hall, Big Data Institute, University of Oxford
1:35 PM Semiparametric Bayesian Inference for the Transmission Dynamics of COVID-19 with a State-Space Model
Tianjian Zhou, University of Chicago
2:05 PM Probabilistic Modeling in Functional Data Analysis: Ideas and Applications
Donatello Telesca, University of Califonia, Los Angeles
2:35 PM Discussant: Jian Kang, University of Michigan
2:45 PM Floor Discussion
 
 

543 !
Thu, 8/6/2020, 1:00 PM - 2:50 PM Virtual
SBSS Student Paper Competition I — Topic Contributed Papers
Section on Bayesian Statistical Science
Organizer(s): Surya T Tokdar, Duke University
Chair(s): Veronika Rockova, University of Chicago
1:05 PM A Hierarchical Expected Improvement Method for Bayesian Optimization
Zhehui Chen, Georgia Tech; Simon Mak, Duke University; Jeff Wu, ISyE, Georgia Tech
1:25 PM Statistical Inference in Mean-Field Variational Bayes
Wei Han; Yun Yang, University of Illinois at Urbana-Champaign
1:45 PM Likelihood-Based Inference for Partially Observed Epidemics on Dynamic Networks Presentation
Fan Bu, Duke University; Allison E. Aiello, University of North Carolina at Chapel Hill; Jason Xu, Duke University; Alexander Volfovsky, Duke University
2:05 PM SBSS Student Paper Competition I
Bradley Hupf, Florida State University; Debajyoti Sinha, Florida State University; Eric Chicken, Florida State University; Greg Hajcak, Florida State University, Department of Psychology
2:25 PM GemBag: Group Estimation of Multiple Bayesian Graphical Models
Xinming Yang; Lingrui Gan, Facebook; Naveen Narisetty, University of Illinois at Urbana-Champaign; Feng Liang, University of Illinois at Urbana-Champaign
2:45 PM Floor Discussion
 
 

554 * !
Thu, 8/6/2020, 3:00 PM - 4:50 PM Virtual
Recent Challenges and Developments in Bayesian Big Data Inference and Computation with Public Database — Invited Papers
ENAR, Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Dipak K Dey, University of Connecticut
Chair(s): Dipak K Dey, University of Connecticut
3:05 PM Bayesian Inference and Monte Carlo Methods for Streaming Data
Gyuhyeong Goh, Kansas State University ; Dipak K Dey, University of Connecticut
3:30 PM Horseshoe Regularization for Machine Learning in Complex and Deep Models
Anindya Bhadra, Purdue University; Jyotishka Datta, University of Arkansas; Yunfan Li, Purdue University; Nicholas Polson, University of Chicago
3:55 PM Projection-Based Approach to Alleviate Spatial Confounding in Spatial Frailty Models
Marcos Oliveira Prates, Universidade Federal de Minas Gerais; Douglas Azevedo, Universidade Federal de Minas Gerais; Dipankar Bandyopadhyay, Virginia Commonwealth University
4:20 PM Discussant: Sudipto Banerjee, UCLA School of Public Health
4:45 PM Floor Discussion
 
 

559 * !
Thu, 8/6/2020, 3:00 PM - 4:50 PM Virtual
Foundations of Data Science: The TRIPODS Experience — Invited Papers
Section on Statistical Learning and Data Science, Committee on Funded Research, Section on Bayesian Statistical Science, Section on Physical and Engineering Sciences, Quality and Productivity Section
Organizer(s): Scott H. Holan, University of Missouri
Chair(s): Catherine Calder, University of Texas at Austin
3:05 PM Build a Data Science Team
Hao Helen Zhang, University of Arizona
3:25 PM Transdisciplinary Research Institute for Advancing Data Science (TRIAD @ Georgia Tech)
Xiaoming Huo, Georgia Institute of Technology
3:45 PM Foundations of Data Science: Dynamical, Statistical and Economic Perspectives Presentation
Michael I. Jordan, University of California, Berkeley
4:05 PM Riemannian Embedding Models for Relational Data
Abel Rodriguez, University of California, Santa Cruz
4:45 PM Floor Discussion
 
 

568 * !
Thu, 8/6/2020, 3:00 PM - 4:50 PM Virtual
Perspectives on Grant Review: Leave it, Fix it, or Nix It? — Invited Papers
Social Statistics Section, Section on Bayesian Statistical Science, Government Statistics Section
Organizer(s): Elena A Erosheva, University of Washington ; Carole Lee, University of Washington
Chair(s): Elena A Erosheva, University of Washington
3:05 PM How Do Bibliometric Measures Affect NIH Funding?
Donna Ginther, University of Kansas
3:30 PM The Participation and Motivations of Grant Peer Reviewers Presentation
Stephen Gallo, AIBS
3:55 PM Burning Money? the Inherent Inefficiency of Grant Proposal Competitions in Allocating Research Funding, and Possible Alternatives
Kevin Gross, North Carolina State University
4:20 PM Peer Review Evaluation at the NIH Center for Scientific Review
Noni Byrnes, NIH; Bruce Reed, NIH
4:45 PM Floor Discussion
 
 

571 * !
Thu, 8/6/2020, 3:00 PM - 4:50 PM Virtual
Emerging Issues in Uncertainty Quantification for Computer Experiments — Topic Contributed Papers
Section on Physical and Engineering Sciences, Uncertainty Quantification in Complex Systems Interest Group, Section on Bayesian Statistical Science, Quality and Productivity Section
Organizer(s): Pulong Ma, The Statistical and Applied Mathematical Sciences Institute
Chair(s): Pulong Ma, The Statistical and Applied Mathematical Sciences Institute
3:05 PM Assessing Variable Activity for Bayesian Additive Regression Trees Presentation
Akira Horiguchi, The Ohio State University; Matthew Pratola, The Ohio State University; Thomas J Santner, The Ohio State University
3:25 PM Orthogonal Decomposable Gaussian Processes of Large Incomplete Matrices
Mengyang Gu, University of California, Santa Barbara
3:45 PM Sequential Design of High-Dimensional Multifidelity Computer Models
Bledar Konomi, University of Cincinnati; Pulong Ma, The Statistical and Applied Mathematical Sciences Institute; Georgios Karagiannis, Durham University
4:05 PM A Two-Stage Framework for Constraint Optimization in Computer Experiments with Applications in Materials Science
Jiazhao Zhang; Ying Hung, Rutgers University
4:25 PM Floor Discussion
 
 

575 * !
Thu, 8/6/2020, 3:00 PM - 4:50 PM Virtual
Trial Design with Subpopulation Heterogeneity: What Is the Role of Real-World Evidence? — Topic Contributed Papers
Biopharmaceutical Section, Biometrics Section, Section on Bayesian Statistical Science
Organizer(s): Brian Hobbs, University of Texas at Austin
Chair(s): Emily Zabor, Cleveland Clinic
3:05 PM Promise and Challenge of RWE for Drug Development
Lei Nie , FDA; Ying Yuan, The University of Texas MD Anderson Cancer Center
3:25 PM Evaluating Off-Label Use of Targeted Cancer Treatments: Generating RWE for Precision Medicine Using CancerLinQ Discovery (CLQD) Data Presentation
Elizabeth Garrett-Mayer, American Society of Clinical Oncology; Melinda Kaltenbaugh, American Society of Clinical Oncology
3:45 PM Dynamic Borrowing in the Presence of Treatment Effect Heterogeneity Presentation
Joseph Koopmeiners, University of Minnesota; Ales Kotalik, University of Minnesota; David Vock, University of Minnesota
4:05 PM A Bayesian Adaptive Design for Concurrent Trials Involving Biologically-Related Diseases
Xun Jiang, Amgen
4:25 PM Basket Trial Design: Challenges and Potential Solutions Presentation
Alexander Kaizer, University of Colorado; Joseph Koopmeiners, University of Minnesota; Nan Chen, University of Texas M.D. Anderson Cancer Center; Brian Hobbs, University of Texas at Austin
4:45 PM Floor Discussion
 
 

578 !
Thu, 8/6/2020, 3:00 PM - 4:50 PM Virtual
SBSS Student Paper Competition II — Topic Contributed Papers
Section on Bayesian Statistical Science
Organizer(s): Surya T Tokdar, Duke University
Chair(s): Surya T Tokdar, Duke University
3:05 PM SBSS Student Paper Competition II: Bayesian Biclustering for Metagenomic Sequencing Data via Multinomial Matrix Factorization
Fangting Zhou, Texas A&M University
3:25 PM Joint Quantile Regression for Spatial Data
Surya T Tokdar, Duke University; Xu Chen, Duke University
3:45 PM SBSS Student Paper Competition II
Chang Liu, North Carolina State University; Ryan Martin, North Carolina State University
4:05 PM More for Less: Predicting and Maximizing Genetic Variant Discovery via Bayesian Nonparametrics
Lorenzo Masoero, Massachusetts Institute of Technology; Federico Camerlenghi, Universita di Milano; Stefano Favaro, Universita di Torino; Tamara Broderick, Massachusetts Institute of Technology
4:25 PM SBSS Student Paper Competition II
Jennifer E Starling, The University of Texas at Austin; Jared S Murray, The University of Texas at Austin; Carlos Carvalho, The University of Texas at Austin; Radek Bukowski, The University of Texas at Austin; James Scott, The University of Texas at Austin
4:45 PM Floor Discussion
 
 

584 * !
Thu, 8/6/2020, 3:00 PM - 4:50 PM Virtual
Innovations and Breakthroughs in Oncology Dose Finding Designs for Time-to-Event Monitoring and Trial Acceleration in the New Age of Immunotherapy and Cell Therapy — Topic Contributed Papers
Section on Risk Analysis, Biopharmaceutical Section, Section on Bayesian Statistical Science, Biometrics Section
Organizer(s): Wei Zhong, Pfizer Inc
Chair(s): Christophe Le Corre, Pfizer Inc.
3:05 PM TITE-BOIN-ET: Time-to-Event Bayesian Optimal Interval Design to Accelerate Dose-Finding Based on Both Efficacy and Toxicity Outcomes
Kentaro Takeda, Astellas Pharma Global Development, Inc.
3:25 PM Probability-of-Decision Designs to Accelerate Dose-Finding Trials
Tianjian Zhou, University of Chicago; Yuan Ji, University of Chicago
3:45 PM Novel Bayesian Adaptive Designs and Their Software Implementation for Phase I Clinical Trials with Late-Onset Toxicity
Yanhong Zhou, MD Anderson Cancer Center; J. Jack Lee, MD Anderson Cancer Center; Ying Yuan, The University of Texas MD Anderson Cancer Center
4:05 PM The Direct Time-to-Event (DTITE) Designs: A Novel Type of Oncology Dose-Escalation Designs with Late-Onset Toxicities Monitoring
Wei Zhong, Pfizer Inc; Qing Xie, The Ohio State University; Ling Wang, Pfizer Inc.; Roberto Bugarini, Pfizer Inc
4:25 PM New Paradigm of Dose Finding Designs in Cell Therapy Development: Challenges and Solutions
Rachael Liu, Takeda Pharmaceuticals; Jianchang Lin, Takeda Pharmaceuticals; Pin Li, University of Michigan; Yuan Ji, University of Chicago; Jing Xu, Blue Bird
4:45 PM Floor Discussion
 
 

585
Thu, 8/6/2020, 3:00 PM - 4:50 PM Virtual
Bayesian Neural Networks — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science, Section on Statistical Learning and Data Science, Text Analysis Interest Group
Organizer(s): Deborshee Sen, Duke University
Chair(s): Rudradev Sengupta, Janssen Pharmaceutical Companies of Johnson and Johnson, Beerse, Belgium
3:05 PM Bayesian Dimension Reduction Using Neural Networks Presentation
Deborshee Sen, Duke University; David Dunson, Duke University; Theodore Papamarkou, Oak Ridge National Laboratory
3:25 PM Bayesian Deep Net GLM and GLMM
Robert Kohn, University of New South Wales; Minh Ngoc Tran, The University of Sydney
3:45 PM Challenges in Bayesian Inference via Markov Chain Monte Carlo for Neural Networks
Theodore Papamarkou
4:05 PM Practical Bayesian Inference for Shallow CNNs in NLP
Jacob Hinkle, Oak Ridge National Lab; Devanshu Agrawal, Oak Ridge National Lab; Theodore Papamarkou, Oak Ridge National Laboratory
4:25 PM Floor Discussion